Series in BioEngineering

Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition

Significant Advances in Data Acquisition, Signal Processing and Classification

Authors: Valenza, Gaetano, Scilingo, Enzo Pasquale

  • Demonstrates methods useful for engineers and computer scientists in increasing the ability of machines to monitor and recognize human emotional states
  • Design of wearable monitoring systems will help clinicians to assess the mental and emotional state of their patients
  • Facilitates the study of physiological changes associated with normal and abnormal changes in affect
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About this book

This monograph reports on advances in the measurement and study of autonomic nervous system (ANS) dynamics as a source of reliable and effective markers for mood state recognition and assessment of emotional responses. Its primary impact will be in affective computing and the application of emotion-recognition systems. Applicative studies of biosignals such as: electrocardiograms; electrodermal responses; respiration activity; gaze points; and pupil-size variation are covered in detail, and experimental results explain how to characterize the elicited affective levels and mood states pragmatically and accurately using the information thus extracted from the ANS. Nonlinear signal processing techniques play a crucial role in understanding the ANS physiology underlying superficially noticeable changes and provide important quantifiers of cardiovascular control dynamics. These have prognostic value in both healthy subjects and patients with mood disorders. Moreover, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition proposes a novel probabilistic approach based on the point-process theory in order to model and characterize the instantaneous ANS nonlinear dynamics providing a foundation from which machine “understanding” of emotional response can be enhanced. Using mathematics and signal processing, this work also contributes to pragmatic issues such as emotional and mood-state modeling, elicitation, and non-invasive ANS monitoring. Throughout the text a critical review on the current state-of-the-art is reported, leading to the description of dedicated experimental protocols, novel and reliable mood models, and novel wearable systems able to perform ANS monitoring in a naturalistic environment. Biomedical engineers will find this book of interest, especially those concerned with nonlinear analysis, as will researchers and industrial technicians developing wearable systems and sensors for ANS monitoring.

About the authors

Associate Professor Scilingo has worked for several years in the field of wearable monitoring systems, signal processing, human-computer interfaces and biomedical applications. He is author of hundreds of international scientific contributions in these fields and currently he is coordinating a European project focused on personalized health systems for mental care. More specifically, patients suffering from mood disorders are monitored by means of wearable systems acquiring a wide set of physiological signals and other behavioural and environmental parameters. Most of the results reported in this book are achieved within the framework of this project, through which Doctor Valenza has been focusing on statistical and nonlinear biomedical signal processing, cardiovascular and neural modeling, and wearable systems for physiological monitoring.
He is author of tens of international scientific papers in these fields and currently he is working with the University of Pisa (Italy), and the neuro-cardiovascular signal processing unit of the Massachusetts General Hospital, Harvard Medical School, Boston, (MA, USA), and Massachusetts Institute of Technology, Cambridge, (MA, USA).

Table of contents (7 chapters)

  • Introduction to Advances in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition

    Valenza, Gaetano (et al.)

    Pages 3-8

  • Emotions and Mood States: Modeling, Elicitation, and Classification

    Valenza, Gaetano (et al.)

    Pages 9-21

  • Data Acquisition: Experimental Procedures and Wearable Monitoring Systems

    Valenza, Gaetano (et al.)

    Pages 25-43

  • Advanced Signal Processing and Modeling for ANS Data

    Valenza, Gaetano (et al.)

    Pages 45-82

  • Experimental Evidences on Healthy Subjects and Bipolar Patients

    Valenza, Gaetano (et al.)

    Pages 85-123

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-02639-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-02638-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-37822-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition
Book Subtitle
Significant Advances in Data Acquisition, Signal Processing and Classification
Authors
Series Title
Series in BioEngineering
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-02639-8
DOI
10.1007/978-3-319-02639-8
Hardcover ISBN
978-3-319-02638-1
Softcover ISBN
978-3-319-37822-0
Series ISSN
2196-8861
Edition Number
1
Number of Pages
XIX, 162
Number of Illustrations and Tables
13 b/w illustrations, 36 illustrations in colour
Topics